| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| Ziele |
(*)The objectives of this course is to give:
An introduction to cooperation, collaboration and coordination
An introduction to the basic ideas of intelligent autonomous agents
An introduction to the main approaches to building such agents
An introduction to the main approaches to building multi-agent systems in which agents can communicate and cooperate to solve problems
An introduction to decision-making in multi-agent systems and the logical modelling of agents
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| Lehrinhalte |
(*)The lecture is structured into 5 thematic areas which will be presented in classroom style teaching.
Students will deepen their understanding and will get hands on experience in the practical part which consists of questions and exercises to be elaborated by the students.
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| Beurteilungskriterien |
(*)Grading for students doing the lecture and the lab will be based on the performance in the exercises given during the semester and in presenting a final mini project.
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| Lehrmethoden |
(*)Lecture and lab (practical part) are combined
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)M.Wooldridge, "An Introduction to MultiAgent Systems, Second Edition", John Wiley & Sons, 2009
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)921PECOPCOU13: UE Principles of Cooperation (1.5 ECTS) + 921PECOPCOV13: VL Principles of Cooperation (3 ECTS)
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